High-speed calculation method for large-scale multi-layer network design problem

2012 ◽  
Author(s):  
Taiju Mikoshi ◽  
Toyofumi Takenaka ◽  
Ryuta Sugiyama ◽  
Akeo Masuda ◽  
Kohei Shiomoto ◽  
...  
Keyword(s):  
Network Design ◽  
Calculation Method ◽  
Design Problem ◽  
High Speed ◽  
Large Scale ◽  
Network Design Problem

scholarly journals Some Computational Insights on the Optimal Bus Transit Route Network Design Problem

2012 ◽  
Vol 47 (3) ◽  
Author(s):  
Wei (David) Fan ◽  
Randy B. Machemehl
Keyword(s):  
Network Design ◽  
Design Problem ◽  
Large Scale ◽  
Network Design Problem ◽  
Mixed Integer ◽  
Research Experiences ◽  
Bus Transit ◽  
Route Network ◽  
Transit Route ◽  
Demand Aggregation

The objective of this paper is to present some computational insights based on previous extensive research experiences on the optimal bus transit route network design problem (BTRNDP) with zonal demand aggregation and variable transit demand. A multi-objective, nonlinear mixed integer model is developed. A general meta-heuristics-based solution methodology is proposed. Genetic algorithms (GA), simulated annealing (SA), and a combination of the GA and SA are implemented and compared to solve the BTRNDP. Computational results show that zonal demand aggregation is necessary and combining metaheuristic algorithms to solve the large scale BTRNDP is very promising.

MIP Neighborhood Search Heuristics for a Capacitated Fixed-Charge Network Design Problem

2020 ◽  
Vol 37 (03) ◽  
pp. 2050009
Author(s):  
Naoto Katayama
Keyword(s):  
Network Design ◽  
Design Problem ◽  
Large Scale ◽  
Fixed Charge ◽  
Network Design Problem ◽  
Neighborhood Search ◽  
Search Heuristics ◽  
Scaling Procedure ◽  
Initial Feasible Solution ◽  
Multicommodity Network Design

The fixed-charge capacitated multicommodity network design problem is a fundamental optimization problem arising in many network configurations. The solution of the problem provides an appropriate network design as well as routes of multicommodity flows aimed at minimizing the total cost, which is the sum of the flow costs and fixed-charge costs over a network with limited arc capacities. In the present paper, we introduce a combined approach with a capacity scaling procedure for finding an initial feasible solution and an MIP neighborhood search for improving the solutions. Besides, we modify the procedure for application to large-scale problems. Computational experiments demonstrate the effectiveness of the proposed approach, and high-quality solutions are obtained for two problem sets from the literature.

scholarly journals Improving the Performance of the Bilevel Solution for the Continuous Network Design Problem

2018 ◽  
Vol 30 (6) ◽  
pp. 709-720
Author(s):  
Ozgur Baskan ◽  
Cenk Ozan ◽  
Mauro Dell’Orco ◽  
Mario Marinelli
Keyword(s):  
Network Design ◽  
Traffic Congestion ◽  
Design Problem ◽  
Road Network ◽  
Large Scale ◽  
Critical Role ◽  
Differential Evolution Algorithm ◽  
Global Optimum ◽  
Network Design Problem ◽  
Local Authorities

For a long time, many researchers have investigated the continuous network design problem (CNDP) to distribute equitably additional capacity between selected links in a road network, to overcome traffic congestion in urban roads. In addition, CNDP plays a critical role for local authorities in tackling traffic congestion with a limited budget. Due to the mutual interaction between road users and local authorities, CNDP is usually solved using the bilevel modeling technique. The upper level seeks to find the optimal capacity enhancements of selected links, while the lower level is used to solve the traffic assignment problem. In this study, we introduced the enhanced differential evolution algorithm based on multiple improvement strategies (EDEMIS) for solving CNDP. We applied EDEMIS first to a hypothetical network to show its ability in finding the global optimum solution, at least in a small network. Then, we used a 16-link network to reveal the capability of EDEMIS especially in the case of high demand. Finally, we used the Sioux Falls city network to evaluate the performance of EDEMIS according to other solution methods on a medium-sized road network. The results showed that EDEMIS produces better solutions than other considered algorithms, encouraging transportation planners to use it in large-scale road networks.

High Speed Information Network Planning using Stochastic Optimization Method

2013 ◽  
Author(s):  
Ki-Sang Song ◽  
Arun K. Somani
Keyword(s):  
Stochastic Optimization ◽  
Network Design ◽  
Multimedia Information ◽  
High Speed ◽  
Minimum Cost ◽  
Optimization Method ◽  
Multimedia Communication ◽  
Network Design Problem ◽  
Information Network ◽  
Traffic Characteristics

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.Broadband integrated services digital network (B-ISDN) based on the asynchronous transmission mode (ATM) is becoming reality to provide high speed, multi bit rate multimedia communications. Multimedia communication network has to support voice, video and data traffics that have different traffic characteristics, delay sensitive or loss sensitive features have to be accounted for designing high speed multimedia information networks. In this paper, we formulate the network design problem by considering the multimedia communication requirements. A high speed multimedia information network design alogrithm is developed using a stochastic optimization method to find good solutions which meet the Quality of Service (QoS) requirement of each traffic class with minimum cost.

Algorithms for a network design problem with crossing supermodular demands

Networks ◽  
2004 ◽  
Vol 43 (4) ◽  
pp. 256-265 ◽  
Author(s):  
Vardges Melkonian ◽  
�va Tardos
Keyword(s):  
Network Design ◽  
Design Problem ◽  
Network Design Problem
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